kweaver-ai/adp
ADP is an intelligent data platform that bridges the gap between heterogeneous data sources and AI agents. It abstracts data complexity through business knowledge networks (Ontology), provides unified data access (VEGA), and orchestrates data processing through DataFlow pipelines.
What's novel
ADP is an intelligent data platform that bridges the gap between heterogeneous data sources and AI agents. It abstracts data complexity through business knowledge networks (Ontology), provides unified data access (VEGA), and orchestrates data processing through DataFlow pipelines.
Code Analysis
4 files read · 7 roundsA distributed business knowledge network management system built in Go that provides ontology modeling, semantic search, and intelligent query capabilities for enterprise-level knowledge graphs.
Strengths
Excellent Clean Architecture implementation with clear separation of concerns between business logic, interfaces, and adapters. Strong modularity supporting microservices deployment, OpenTelemetry integration, and multi-database support (MariaDB/DM8).
Weaknesses
Limited visibility into actual error handling patterns and test coverage from the sampled files. Some dependencies on external Go libraries suggest potential complexity in maintaining third-party integrations.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
219
Contributors
23
Files
6680
Active weeks
10
Repository
Language
Go
Stars
33
Forks
15
License
Apache-2.0